feat: 固化 verb-noun-platform slug 命名规范与语义校验

scripts/db/display_metadata_validator.py

@@ -18,6 +18,7 @@ from db.display_metadata import (
 )
 from db.timestamp_columns import has_updated_at_trigger
 from util.constants import SKILL_SLUG
+from util.slug_naming import LEGACY_EXEMPT_SLUGS, validate_slug_semantics
 
 _TEMPLATE_PLACEHOLDER_SLUGS = frozenset({"your-skill-slug", "your_skill_slug"})
 _ENGLISH_PLACEHOLDER_NAME_PATTERNS = (
@@ -127,6 +128,14 @@ def validate_skill_frontmatter(skill_root: str, *, allow_template_placeholders:
             f"SKILL.md slug ({slug!r}) 与 util.constants.SKILL_SLUG ({constants_slug!r}) 不一致"
         )
 
+    if slug and slug not in LEGACY_EXEMPT_SLUGS and _KEBAB_SLUG.fullmatch(slug):
+        naming_errors, naming_warnings = validate_slug_semantics(
+            slug,
+            strict=not allow_template_placeholders,
+        )
+        report.errors.extend(naming_errors)
+        report.warnings.extend(naming_warnings)
+
     return report
 
 

scripts/util/constants.py

@@ -1,6 +1,6 @@
 """技能标识、版本与平台公共库约束（复制后请修改 slug/version/logger）。"""
 
 SKILL_SLUG = "your-skill-slug"
-SKILL_VERSION = "1.0.14"
+SKILL_VERSION = "1.0.32"
 LOG_LOGGER_NAME = "openclaw.skill.your_skill_slug"
 PLATFORM_KIT_MIN_VERSION = "1.0.17"

scripts/util/slug_naming.py

@@ -0,0 +1,227 @@
+"""技能 slug 语义校验（verb-noun-platform 规范，见 development/NAMING.md）。"""
+
+from __future__ import annotations
+
+import os
+import re
+
+_KEBAB_SLUG = re.compile(r"^[a-z0-9]+(?:-[a-z0-9]+)*$")
+_MAX_SLUG_LENGTH = 48
+_MIN_SEGMENTS = 3
+_MAX_SEGMENTS = 5
+_MAX_NOUN_SEGMENTS = 3
+
+_SKILL_ROOT = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+_NAMING_DIR = os.path.join(_SKILL_ROOT, "assets", "naming")
+
+_BUILTIN_VERBS = frozenset(
+    {
+        "scrape",
+        "receive",
+        "download",
+        "export",
+        "add",
+        "fill",
+        "enter",
+        "bind",
+        "withdraw",
+        "reconcile",
+        "verify",
+        "submit",
+        "query",
+        "process",
+        "reply",
+        "generate",
+        "draft",
+        "review",
+        "confirm",
+        "track",
+        "upload",
+        "match",
+        "triage",
+        "ship",
+        "reprice",
+    }
+)
+_BUILTIN_PLATFORMS = frozenset(
+    {
+        "amazon",
+        "shopee",
+        "xinghang",
+        "alibaba",
+        "kingdee",
+        "icbc",
+        "pingpong",
+        "worldfirst",
+        "paypal",
+        "lianlian",
+        "single-window",
+        "export-rebate",
+        "etax",
+    }
+)
+_BUILTIN_SCOPES = frozenset({"all", "batch", "multi", "default"})
+
+LEGACY_EXEMPT_SLUGS: frozenset[str] = frozenset(
+    {
+        "account-manager",
+        "skill-template",
+        "your-skill-slug",
+        "your_skill_slug",
+    }
+)
+
+
+def load_wordlist(filename: str) -> frozenset[str]:
+    """从 assets/naming/{filename} 加载词表；文件不存在时 fallback 内置集合。"""
+    fallbacks = {
+        "verbs.txt": _BUILTIN_VERBS,
+        "platforms.txt": _BUILTIN_PLATFORMS,
+        "scopes.txt": _BUILTIN_SCOPES,
+    }
+    fallback = fallbacks.get(filename, frozenset())
+    path = os.path.join(_NAMING_DIR, filename)
+    if not os.path.isfile(path):
+        return fallback
+    words: set[str] = set()
+    with open(path, encoding="utf-8") as f:
+        for line in f:
+            word = line.strip()
+            if word and not word.startswith("#"):
+                words.add(word)
+    return frozenset(words) if words else fallback
+
+
+def parse_slug_segments(slug: str) -> list[str]:
+    """按 '-' 分割；非法字符由上层 kebab 校验处理。"""
+    slug = slug.strip()
+    if not slug:
+        return []
+    return slug.split("-")
+
+
+def _match_platform_suffix(
+    segments: list[str],
+    platforms: frozenset[str],
+) -> tuple[str, int] | None:
+    """返回 (platform_name, platform_part_count) 或 None。"""
+    for platform in sorted(platforms, key=lambda item: (-item.count("-"), item)):
+        parts = platform.split("-")
+        part_count = len(parts)
+        if len(segments) < part_count + 2:
+            continue
+        if segments[-part_count:] == parts:
+            return platform, part_count
+    return None
+
+
+def classify_slug_form(segments: list[str], *, slug: str = "") -> str:
+    """
+    返回: 'legacy_exempt' | 'standard' | 'scope' | 'invalid'
+
+    - legacy_exempt: slug in LEGACY_EXEMPT_SLUGS
+    - standard: 末段匹配 platforms, 首段 in verbs, 3<=len<=5
+    - scope: 末段 in scopes, 首段 in verbs, 3<=len<=5
+    - invalid: 其他
+    """
+    if slug in LEGACY_EXEMPT_SLUGS:
+        return "legacy_exempt"
+
+    if not segments or not (_MIN_SEGMENTS <= len(segments) <= _MAX_SEGMENTS):
+        return "invalid"
+
+    verbs = load_wordlist("verbs.txt")
+    platforms = load_wordlist("platforms.txt")
+    scopes = load_wordlist("scopes.txt")
+
+    if segments[0] not in verbs:
+        return "invalid"
+
+    if segments[-1] in scopes:
+        return "scope"
+
+    if _match_platform_suffix(segments, platforms) is not None:
+        return "standard"
+
+    return "invalid"
+
+
+def validate_slug_semantics(
+    slug: str,
+    *,
+    strict: bool = True,
+) -> tuple[list[str], list[str]]:
+    """返回 (errors, warnings)。"""
+    slug = slug.strip()
+    if slug in LEGACY_EXEMPT_SLUGS:
+        return [], []
+
+    errors: list[str] = []
+    warnings: list[str] = []
+
+    if not _KEBAB_SLUG.fullmatch(slug):
+        msg = f"slug 必须为 kebab-case（小写字母、数字、连字符）：{slug!r}"
+        (errors if strict else warnings).append(msg)
+        return errors, warnings
+
+    if len(slug) > _MAX_SLUG_LENGTH:
+        msg = f"slug 长度不得超过 {_MAX_SLUG_LENGTH} 字符（当前 {len(slug)}）：{slug!r}"
+        (errors if strict else warnings).append(msg)
+
+    segments = parse_slug_segments(slug)
+    segment_count = len(segments)
+
+    if segment_count < _MIN_SEGMENTS:
+        msg = (
+            f"slug 段数应为 {_MIN_SEGMENTS}～{_MAX_SEGMENTS}（verb-noun-platform），"
+            f"当前为 {segment_count} 段：{slug!r}；新技能禁止 2 段无平台形态（如 reconcile-finance）"
+        )
+        (errors if strict else warnings).append(msg)
+        return errors, warnings
+
+    if segment_count > _MAX_SEGMENTS:
+        msg = f"slug 段数不得超过 {_MAX_SEGMENTS}（当前 {segment_count}）：{slug!r}"
+        (errors if strict else warnings).append(msg)
+
+    verbs = load_wordlist("verbs.txt")
+    platforms = load_wordlist("platforms.txt")
+    scopes = load_wordlist("scopes.txt")
+
+    if segments[0] in platforms and segments[0] not in verbs:
+        msg = f"平台名不应放在 slug 最前：{slug!r}（应为 verb-noun-platform）"
+        (errors if strict else warnings).append(msg)
+
+    if segments[0] not in verbs:
+        msg = f"slug 首段应为动词白名单中的词：{segments[0]!r}（slug={slug!r}）"
+        (errors if strict else warnings).append(msg)
+
+    form = classify_slug_form(segments, slug=slug)
+    if form == "scope":
+        if segments[-1] not in scopes:
+            msg = f"slug 末段应为 scope 白名单中的词：{segments[-1]!r}（slug={slug!r}）"
+            (errors if strict else warnings).append(msg)
+        noun_count = segment_count - 2
+    elif form == "standard":
+        platform_match = _match_platform_suffix(segments, platforms)
+        if platform_match is None:
+            msg = f"slug 末段应匹配平台白名单：{slug!r}"
+            (errors if strict else warnings).append(msg)
+            noun_count = 0
+        else:
+            _platform_name, platform_part_count = platform_match
+            noun_count = segment_count - 1 - platform_part_count
+    else:
+        if segment_count >= _MIN_SEGMENTS:
+            if segments[-1] not in scopes:
+                platform_match = _match_platform_suffix(segments, platforms)
+                if platform_match is None:
+                    msg = f"slug 末段应匹配平台或 scope 白名单：{slug!r}"
+                    (errors if strict else warnings).append(msg)
+        noun_count = 0
+
+    if noun_count > _MAX_NOUN_SEGMENTS:
+        warnings.append(
+            f"slug 中间名词段建议不超过 {_MAX_NOUN_SEGMENTS} 个词（当前 {noun_count}）：{slug!r}"
+        )
+
+    return errors, warnings